Using Visualization of Performance Data to Investigate Load Imbalance of a Geophysics Parallel Application. - Ana Luisa Veroneze Solórzano; Lucas Leandro Nesi; Lucas Mello Schnorr (PEARC, 2020)

BlocklyPar: from sequential to parallel with block-based visual programming. - Ana Luisa Veroneze Solórzano; Andrea Schwertner Charão (FIE, 2021)

Companion for "Temporal Load Imbalance on Ondes3D Seismic Simulator for Different Multicore Architectures". - Ana Luisa Veroneze Solórzano; Philippe Olivier Alexandre Navaux; Lucas Mello Schnorr (Zenodo, 2021)

LDMS Darshan Connector: For Run Time Diagnosis of HPC Application I/O Performance. - Sara Walton; Omar Aaziz; Ana Luisa Veroneze Solórzano; Benjamin Schwaller (CLUSTER, 2022)

Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements. - Ana Luisa Veroneze Solórzano; Lucas Mello Schnorr (ISC, 2022)

Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer. - Ana Luisa Veroneze Solórzano; Kento Sato; Keiji Yamamoto; Fumiyoshi Shoji; Jim M. Brandt; Benjamin Schwaller; Sara Petra Walton; Jennifer Green; Devesh Tiwari (SC, 2024)

Temporal Load Imbalance on Ondes3D Seismic Simulator for Different Multicore Architectures. - Ana Luisa Veroneze Solórzano; Philippe Olivier Alexandre Navaux; Lucas Mello Schnorr (CoRR, 2024)